iPhone18,1
Geekbench AI Score
5202
Single Precision Score
8450
Half Precision Score
6662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3749
697.1 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3046
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3451
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10929
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19772
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16634
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4201
334.4 IPS |
|
|
Object Detection (Q)
|
94% |
2899
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8545
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4555
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14505
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10319
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25348
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39390
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32444
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6948
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6028
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9571
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9263
160.1 IPS |
